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Researcher · University of Southern California · United States

S. Joe Qin

S. Joe Qin publishes mostly in Control and Systems Engineering, Analytical Chemistry and Mechanical Engineering, on topics such as Fault Detection and Control Systems, Spectroscopy and Chemometric Analyses and Advanced Control Systems Optimization.

ORCID 0000-0001-7631-2535 OpenAlex
World rank
#33,272
of 7,710,434 ranked researchers
Rank in United States
#12,656
of 1,627,098
Works
381
Citations
31k
Citations per work
82.3
h-index
80
i10-index 207Top 0.2% in Control and Systems Engineering
S. Joe Qin

What does S. Joe Qin research?

S. Joe Qin's work is mostly in Engineering (58%), Chemistry (9%), Computer Science (6%).

Physical Sciences: 278 works · 72.9% of their workEngineering: 222 works · 58.2% of their workControl and Systems Engineering: 178 works · 46.6% of their workMechanical Engineering: 34 works · 8.8% of their workElectrical and Electronic Engineering: 11 works · 2.8% of their workChemistry: 34 works · 8.8% of their workAnalytical Chemistry: 34 works · 8.8% of their workComputer Science: 22 works · 5.9% of their workArtificial Intelligence: 22 works · 5.9% of their workEverything else: 84 works · 22.1% of their workSocial Sciences: 19 works · 5.0% of their workDecision Sciences: 19 works · 5.0% of their workStatistics, Probability and Uncertainty: 19 works · 5.0% of their workTHEIR WORKS. Joe Qin381works
Physical Sciences73%Social Sciences5%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering22258.2%
    2. Chemistry348.8%
    3. Computer Science225.9%
  2. Everything else8422.1%
    1. Decision Sciences195.0%
  1. 1Control and Systems Engineering47% of their works
  2. 2Analytical Chemistry9% of their works
  3. 3Mechanical Engineering9% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Statistics, Probability and Uncertainty5% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe S. Joe Qin's research?

The keywords of their largest research topics: Machine Learning, Fault Detection, Process Monitoring, Energy Efficiency, Multivariate Calibration, Near-Infrared Spectroscopy, Model Predictive Control and Optimization.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Machine Learning3392 topics
  2. Fault Detection2531 topic
  3. Process Monitoring2531 topic
  4. Energy Efficiency1012 topics
  5. Multivariate Calibration971 topic
  6. Near-Infrared Spectroscopy971 topic
  7. Model Predictive Control951 topic
  8. Optimization951 topic
  9. Comminution861 topic
  10. Mineral Liberation Analysis861 topic
  11. Parameter Estimation851 topic
  12. System Identification851 topic
  13. Healthcare Improvement491 topic
  14. Statistical Process Control491 topic
  15. Neural Networks261 topic
  16. Self-Organizing Maps261 topic
  17. Fuzzy Controller151 topic
  18. Redundant Transmission151 topic

Where does S. Joe Qin work?

S. Joe Qin's main affiliation in the publication record is University of Southern California, United States.

How many publications and citations does S. Joe Qin have?

OpenAlex counts 381 works and 31,363 citations for S. Joe Qin, an h-index of 80, ranking #33,272 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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